Predicting Student Achievement before Final Exam: A Regression-Based Approach

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An early prediction of student achievement on a course is an important instrument to forecast student accomplishment in the learning process. Besides, it is also functioned to help the students who might be failed. In this study, we proposed a regression-based early prediction of student achievement. The prediction system utilized the data from last semester to predict the final score of the students in the current semester. The proposed approach was tested in two scenarios. First, predicting the final score directly and the second is predicting the final exam score continued by final score calculation by using predefined formula. The experiment result shows that overall, the second scenario produces a better result than the first scenario. The SVR-Linear achieves the highest performance in the first scenario with 3.56 MAE, 0.048 MAPE, 17.63 MSE, 4.2 RMSE, and 0.781 R-squared. SVR-RBF achieves the highest performance in the second scenario with 3.0 MAE, 0.043 MAPE, 13.05 MSE, 3.6 RMSE, and 0.838 R-squared.

Original languageEnglish
Title of host publicationProceedings - 2022 2nd International Conference on Information Technology and Education, ICIT and E 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages424-428
Number of pages5
ISBN (Electronic)9781665494335
DOIs
Publication statusPublished - 2022
Event2nd International Conference on Information Technology and Education, ICIT and E 2022 - Malang, Indonesia
Duration: 22 Jan 2022 → …

Publication series

NameProceedings - 2022 2nd International Conference on Information Technology and Education, ICIT and E 2022

Conference

Conference2nd International Conference on Information Technology and Education, ICIT and E 2022
Country/TerritoryIndonesia
CityMalang
Period22/01/22 → …

Keywords

  • final exam
  • prediction
  • regression
  • student achievement

Fingerprint

Dive into the research topics of 'Predicting Student Achievement before Final Exam: A Regression-Based Approach'. Together they form a unique fingerprint.

Cite this